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AWS Batch vs AWS Compute Optimizer comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

AWS Batch
Ranking in Compute Service
5th
Average Rating
8.4
Number of Reviews
10
Ranking in other categories
No ranking in other categories
AWS Compute Optimizer
Ranking in Compute Service
14th
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Compute Service category, the mindshare of AWS Batch is 21.0%, up from 17.0% compared to the previous year. The mindshare of AWS Compute Optimizer is 0.2%, down from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Compute Service
 

Featured Reviews

Larry Singh - PeerSpot reviewer
User-friendly, good customization and offers exceptional scalability, allowing users to run jobs ranging from 32 cores to over 2,000 cores
The main drawback to using AWS Batch would be the cost. It will be more expensive in some cases than using an HPC. It's more amenable to cases where you have spot requirements. So, for instance, you don't exactly know how much compute resources you'll need and when you'll need them. So it's much better for that flexibility. But if you're going to be running jobs consistently and using the compute cluster consistently for a lot of time, and it's not going to have a lot of downtime, then the HPC system might be a better alternative. So, really, it boils down to cost versus usage trade-offs. It's going to be more expensive for a lot of people. In future releases, I would like to see anything that could help make it easier to set up your initial system. And besides improving the GUI a little bit, the interface to it, making it a little bit more descriptive and having more information at your fingertips, so if you could point to the help of what the different features are, you can get quick access to that. That might help. With most of the AWS services, the difficulty really is getting information and knowledge about the system and seeing examples. So, seeing examples of how it's being used under multiple use cases would be the best way to become familiar with it. And some of that would just come with experience. You have to just use it and play with it. But in terms of the system itself, it's not that difficult to set up or use.
Shady Mogawer - PeerSpot reviewer
Easy to manage, flexible, and has good scaling options
A partner company called Cloud40 helped us with the deployment. It took a couple of weeks for the deployment to happen. The steps we took for the deployment process included research and information planning about what we wanted to do while moving from physical to the cloud. We have used all the hardware and other resources available to make sure of the connection.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"AWS Batch manages the execution of computing workload, including job scheduling, provisioning, and scaling."
"There is one other feature in confirmation or call confirmation where you can have templates of what you want to do and just modify those to customize it to your needs. And these templates basically make it a lot easier for you to get started."
"We can easily integrate AWS container images into the product."
"AWS Batch's deployment was easy."
"I find the solution's scaling capability to be an important benefit. You can scale it vertically or horizontally, i.e., you can upgrade the hardware or clone the machine. The solution is also easy to manage and flexible. Additionally, you get some layers of security without paying for it."
 

Cons

"AWS Batch needs to improve its documentation."
"The main drawback to using AWS Batch would be the cost. It will be more expensive in some cases than using an HPC. It's more amenable to cases where you have spot requirements."
"The solution should include better and seamless integration with other AWS services, like Amazon S3 data storage and EC2 compute resources."
"When we run a lot of batch jobs, the UI must show the history."
"I have two areas of improvement to comment on. Most of the product names in AWS are not indicative of what they are doing. Moreover, AWS is not organized and you do not have the full platform with you. It is hard to know some AWS services."
 

Pricing and Cost Advice

"AWS Batch's pricing is good."
"AWS Batch is a cheap solution."
"The pricing is very fair."
"I find the solution's pricing reasonable. You need to pay extra for IP and other miscellaneous costs."
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Top Industries

By visitors reading reviews
Financial Services Firm
28%
Computer Software Company
11%
Manufacturing Company
7%
University
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

Which is better, AWS Lambda or Batch?
AWS Lambda is a serverless solution. It doesn’t require any infrastructure, which allows for cost savings. There is no setup process to deal with, as the entire solution is in the cloud. If you use...
What do you like most about AWS Batch?
AWS Batch manages the execution of computing workload, including job scheduling, provisioning, and scaling.
What is your experience regarding pricing and costs for AWS Batch?
AWS Batch itself is a service for which I don't usually pay directly. I pay for the compute and memory used underneath, such as AWS EC2 ( /products/amazon-ec2-reviews ), AWS Fargate ( /products/aws...
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Comparisons

No data available
 

Also Known As

Amazon Batch
No data available
 

Overview

 

Sample Customers

Hess, Expedia, Kelloggs, Philips, HyperTrack
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Find out what your peers are saying about Amazon Web Services (AWS), Apache, Spot by NetApp and others in Compute Service. Updated: March 2025.
848,989 professionals have used our research since 2012.